Artificial neural network multi-objective optimization of a novel integrated plant to produce power, cooling and potable water-Reference-Cited by-同舟云学术

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Artificial neural network multi-objective optimization of a novel integrated plant to produce power, cooling and potable water

Published:2022-12 Issue: Volume:71 Page:532-540
ISSN:0973-0826
Container-title:Energy for Sustainable Development
language:en
Short-container-title:Energy for Sustainable Development

Author:

Hai Tao,Yahya Salah I.,Zhou Jincheng,Mansir Ibrahim B.,Rezaei Abbas,Al Mamun Kabir

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development

Reference32 articles.

1. Exergoeconomic analysis and multi-objective optimization of a novel combined flash-binary cycle for Sabalan geothermal power plant in Iran;Aali;Energy Conversion and Management,2017

2. Performance comparison of three trigeneration systems using organic Rankine cycles;Al-Sulaiman;Energy,2011

3. Multi-objective optimization of a geothermal-based multigeneration system for heating, power and purified water production purpose using evolutionary algorithm;Ansarinasab;Energy Conversion and Management,2020

4. Thermal design and optimization;Bejan,1996

5. BP statistical review of world energy 2019;BP,2019

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3. Application of multi-objective optimization based on Sobol sensitivity analysis in solar single-double-effect LiBr-H₂O absorption refrigeration;FRONT ENERGY;2024

4. Hybrid heating system sizing and operation control with Neural Network based simulation;2023 IEEE 64th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON);2023-10-09

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